Bruna Bazaluk joins the team
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Welcome to Bruna Bazaluk, the first doctoral student to join my team! I will co-supervise her with dr. Sicco Verwer during her 4-year PhD journey at the Algorithmics section.
About Bruna
Bruna obtained her Bachelor’s and Master’s degrees in Computer Science at the University of São Paulo, Brazil. She conducted her Master’s research on the topic of Large Language Models and Causality, under supervision of Prof. Flávio Soares Corrêa da Silva (University of São Paulo), Prof. Denis D. Mauá (University of São Paulo) and Dr. Benjie Wang (UCLA).
Her interest in tractable probabilistic models and causal discovery and inference make her an ideal candidate to join me during the four years of my Veni project on identifying important variables in probabilistic decision-making problems.
Bruna has demonstrated a commitment to improving the culture in our scientific community, by organising the QueerInAI workshop at NeurIPS 2024 in Vancouver, Canada, and speaking about the benefits of a local community of FLOSS contributors at DebConf 2019 in Curitiba, Brazil. She has already built a strong international network through research visits at the StarAI lab at UCLA and the Copenhagen Causality Lab in Denmark, and through all the international workshops and conferences she attended to present her work.
In addition to her strong technical background and dedication to the community, Bruna also brings a passion for computer science education. She has already published on source code plagiarism1 and course scheduling2, and has ample experience as a teaching assistant. I’m looking forward to co-supervising student projects with her.
During the interviews and the months leading up to her arrival in Delft, I’ve gotten to know Bruna as an intelligent, enthusiastic go-getter with a wide range of interests. I am confident that she will make a great addition to my team, and to the Algorithmics section as a whole. I am excited to see where her research and drive will bring her during the coming four years.
Footnotes
B. Bazaluk, F. S. C. da Silva, M. Holanda, and D. D. Silva, ‘Source Code Plagiarism in Computer Science Courses: Facts and Impressions’, in Workshop sobre Educação em Computação (WEI), SBC, Aug. 2023, pp. 111–121. doi: 10.5753/wei.2023.230066. ↩
A. Lima et al., ‘LUNCH: an answer set programming system for course scheduling’, in Anais do Encontro Nacional de Inteligência Artificial e Computacional (ENIAC). Sep. 2023, pp. 954–968. doi: 10.5753/eniac.2023.234540. ↩